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Divergence in DNA Specificity among Paralogous Transcription Factors Contributes to Their Differential In Vivo Binding.
Shen, Ning; Zhao, Jingkang; Schipper, Joshua L; Zhang, Yuning; Bepler, Tristan; Leehr, Dan; Bradley, John; Horton, John; Lapp, Hilmar; Gordan, Raluca.
Afiliación
  • Shen N; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
  • Zhao J; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA.
  • Schipper JL; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
  • Zhang Y; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Program in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708, USA.
  • Bepler T; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
  • Leehr D; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
  • Bradley J; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
  • Horton J; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA.
  • Lapp H; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA.
  • Gordan R; Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA; Department of Computer Science, Duke University, Durham, NC 27708, USA; Department of Molecular Genetics and Microbiology, Duk
Cell Syst ; 6(4): 470-483.e8, 2018 Apr 25.
Article en En | MEDLINE | ID: mdl-29605182
ABSTRACT
Paralogous transcription factors (TFs) are oftentimes reported to have identical DNA-binding motifs, despite the fact that they perform distinct regulatory functions. Differential genomic targeting by paralogous TFs is generally assumed to be due to interactions with protein co-factors or the chromatin environment. Using a computational-experimental framework called iMADS (integrative modeling and analysis of differential specificity), we show that, contrary to previous assumptions, paralogous TFs bind differently to genomic target sites even in vitro. We used iMADS to quantify, model, and analyze specificity differences between 11 TFs from 4 protein families. We found that paralogous TFs have diverged mainly at medium- and low-affinity sites, which are poorly captured by current motif models. We identify sequence and shape features differentially preferred by paralogous TFs, and we show that the intrinsic differences in specificity among paralogous TFs contribute to their differential in vivo binding. Thus, our study represents a step forward in deciphering the molecular mechanisms of differential specificity in TF families.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Syst Año: 2018 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Syst Año: 2018 Tipo del documento: Article